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Cheriton School of Computer Science

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University of Waterloo PhD Seminar • Artificial Intelligence | Machine Learning • Basis Transformers for Multi-Task Tabular Regression | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Data Systems • LLM-Based Frameworks for Information Retrieval Evaluation | Cheriton School of Computer Science | University of Waterloo Master’s Thesis Presentation • Programming Languages • C∀ Collection Library | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Human–Computer Interaction • DuckDuckTalk: Conversational Agent Teams to Support Active Externalization during Collaborative Data Analysis | Cheriton School of Computer Science | University of Waterloo PhD Defence • Data Systems • Development and Evaluation of Assistive AI Systems for Assessing News Trustworthiness | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Software Engineering • Does Impact Analysis Support the Review of Changes to Build Specifications? | Cheriton School of Computer Science | University of Waterloo PhD Defence • Bioinformatics • Deep Learning for Accurate and Reliable De Novo Peptide Sequencing: From Missing Fragmentation to Open Modification Discovery | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Computer Algebra | Symbolic Computation • Signature-based Gröbner basis Algorithms for Determinantal Ideals | Cheriton School of Computer Science | University of Waterloo DLS: Gilles Brassard — Alan Turing and me | Cheriton School of Computer Science | University of Waterloo Rhetoricon Symposium: Figures & Constructions, Constructions & Figures | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Systems and Networking • Attacks on Approximate Caches in Text-to-Image Diffusion Models | Cheriton School of Computer Science | University of Waterloo PhD Seminar • Data Systems • Differentially Oblivious Multi-way Join | Cheriton School of Computer Science | 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PhD Defence • Programming Languages • Implementation Techniques for Lexical Effect Handlers | Cheriton School of Computer Science | University of Waterloo
Mayuri Punit · 2026-07-10 · via Cheriton School of Computer Science

Please note: This PhD defence will take place in DC 3317 and online.

Cong Ma, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Yizhou Zhang

Effect handlers generalize exception handling to support control-flow patterns including coroutines, cooperative multitasking, and nondeterminism. Recent work advocates for lexically scoped handlers, which restore abstraction safety and enable modular reasoning: a handler is a lexically scoped capability, and an effect can be raised only to a handler whose capability is in scope. However, prior implementations of lexical effect handlers suffer from inefficiencies that could hinder their adoption in practice.

This thesis shows that the static character that makes lexical scoping safe is also what makes it efficient to implement. It develops this insight into three complementary compilation techniques, embodied in our language Lexa; each technique is made precise by a formal model, proven correct, and realized in the Lexa compiler. Direct Lexa identifies each handler with the stack address where it is installed, so a raise jumps directly to its handler, without any search. Zone Lexa extends the address-based strategy to multishot resumptions by virtualizing handler identities through a software memory-management unit. Zero Lexa serves infrequent effects such as exceptions: it avoids the cost of passing down any run-time handler identity, and instead walks the stack using the static handler provenance information when an effect is raised, so effect-free execution pays nothing. A single program can choose among the three techniques per effect, matching each effect’s expected usage.

Together, these techniques demonstrate that lexical effect handlers can be implemented efficiently. Effect handlers can be both safe and fast.


To attend this PhD defence in person, please go to DC 3317. You can also attend virtually on Zoom.